Ryan Webster

13 papers A* 2B 2Journal 8
YearRankTypeTitle / Venue / Authors
2023 J jnl
A Reproducible Extraction of Training Images from Diffusion Models.
CoRR
Ryan Webster
2023 — —
Evaluation of Deep Image Generation Through the Lens of Privacy and Utility. (Evaluation de la synthèse d'images au travers du prisme de la confidentialité).
Ryan Webster
2023 J jnl
On the De-duplication of LAION-2B.
CoRR
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
2023 J jnl
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity.
J. Mach. Learn. Res.
Rodrigue Siry, Ryan Webster, Loïc Simon, Julien Rabin
2022 B conf
Width-Wise Parameter Sharing for Multi-Domain Gan Learning.
ICIP
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
2021 J jnl
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces.
CoRR
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
2020 J jnl
Equivalence of several curves assessing the similarity between probability distributions.
CoRR
Loïc Simon, Julien Rabin, Ryan Webster
2020 B conf
Generating Private Data Surrogates for Vision Related Tasks.
ICPR
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
2019 A* conf
Detecting Overfitting of Deep Generative Networks via Latent Recovery.
CVPR
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
2019 J jnl
Detecting Overfitting of Deep Generative Networks via Latent Recovery.
CoRR
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
2019 J jnl
Revisiting Precision and Recall Definition for Generative Model Evaluation.
CoRR
Loïc Simon, Ryan Webster, Julien Rabin
2019 A* conf
Revisiting precision recall definition for generative modeling.
ICML
Loïc Simon, Ryan Webster, Julien Rabin
2018 J jnl
Innovative Non-parametric Texture Synthesis via Patch Permutations.
CoRR
Ryan Webster